scholarly journals The use of correspondence analysis in the study of foreign divestment in the Visegrad Countries during the coronavirus crisis

Econometrics ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 15-26
Author(s):  
Marcin Salamaga
Keyword(s):  
Correspondence Analysis ◽  
Foreign Divestment ◽  
Visegrád Countries

scholarly journals Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries

2019 ◽  
Vol 10 (4) ◽  
pp. 743-772 ◽  
Author(s):  
Maria Kovacova ◽  
Tomas Kliestik ◽  
Katarina Valaskova ◽  
Pavol Durana ◽  
Zuzana Juhaszova
Keyword(s):  
Cluster Analysis ◽  
Correspondence Analysis ◽  
Prediction Models ◽  
Value Added ◽  
Bankruptcy Prediction ◽  
Individual Country ◽  
Explanatory Variables ◽  
Visegrad Group ◽  
Visegrád Countries ◽  
Specific Country

Research background: Since the first bankruptcy prediction models were developed in the 60’s of the 20th century, numerous different models have been constructed all over the world. These individual models of bankruptcy prediction have been developed in different time and space using different methods and variables. Therefore, there is a need to analyse them in the context of various countries, while the question about their suitability arises. Purpose of the article: The analysis of more than 100 bankruptcy prediction models developed in V4 countries confirms that enterprises in each country prefer different explanatory variables. Thus, we aim to review systematically the bankruptcy prediction models developed in the countries of Visegrad four and analyse them, with the emphasis on explanatory variables used in these models, and evaluate them using appropriate statistical methods. Methods: Cluster analysis and correspondence analysis were used to explore the mutual relationships among the selected categories, e.g. clusters of explanatory variables and countries of the Visegrad group. The use of the cluster analysis focuses on the identification of homogenous subgroups of the explanatory variables to sort the variables into clusters, so that the variables within a common cluster are as much similar as possible. The correspondence analysis is used to examine if there is any statistically significant dependence between the monitored factors — bankruptcy prediction models of Visegrad countries and explanatory variables. Findings & Value added: Based on the statistical analysis applied, we confirmed that each country prefers different explanatory variables for developing the bankruptcy prediction model. The choice of an appropriate and specific variable in a specific country may be very helpful for enterprises, researchers and investors in the process of construction and development of bankruptcy prediction models in conditions of an individual country.

Analysis on Research Paper Publication Recommendation System with Composition of Papers and Conferences Matrices

2020 ◽  
pp. 120-127
Author(s):  
Htay Htay Win ◽  
Aye Thida Myint ◽  
Mi Cho Cho
Keyword(s):  
Social Network ◽  
Dimensionality Reduction ◽  
Correspondence Analysis ◽  
Recommendation System ◽  
Research Paper ◽  
Topic Modelling ◽  
Research Papers ◽  
The Right ◽  
Publication Recommendation

For years, achievements and discoveries made by researcher are made aware through research papers published in appropriate journals or conferences. Many a time, established s researcher and mainly new user are caught up in the predicament of choosing an appropriate conference to get their work all the time. Every scienti?c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld. Choosing an appropriate venue is needed as it helps in reaching out to the right listener and also to further one’s chance of getting their paper published. In this work, we address the problem of recommending appropriate conferences to the authors to increase their chances of receipt. We present three di?erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling. In all these approaches, we apply Correspondence Analysis (CA) to obtain appropriate relationships between the entities in question, such as conferences and papers. Our models show hopeful results when compared with existing methods such as content-based ?ltering, collaborative ?ltering and hybrid ?ltering.

Recent Foreign Divestment From Tayside: A Comparative Case Study Of Giddings & Lewis, Timex And Hallmark

1996 ◽  
Vol 16 (First Serie (1) ◽  
pp. 87-103 ◽  
Author(s):  
Xiaming Liu ◽  
Pamela Siler
Keyword(s):  
Comparative Case Study ◽  
Foreign Divestment

Regional Disparities of the Social Innovation Potential in the Visegrad Countries: Causes and Consequences

2018 ◽  
Vol 5 (1) ◽  
pp. 36-42
Author(s):  
György Kocziszky ◽  
Dóra Szendi
Keyword(s):  
Social Innovation ◽  
Technical Innovation ◽  
The European Union ◽  
Social Culture ◽  
Complex Character ◽  
Innovation Potential ◽  
The Social ◽  
Territorial Disparities ◽  
Active Contribution ◽  
Visegrád Countries

Abstract The international literature is paying significant and increasing attention to the analysis of the regions’ innovation potential, and its active contribution to economic growth and competitiveness. Beside the classical, technical innovation, also the social innovation is getting even more emphasis. It can solve as alternative basically in the case of the peripheral territories. The convergence of peripheries is a stressed priority in the European Union. The territorial disparities are resulting in significant social and political problems also in the case of the Visegrad countries’ regions. The authors in their research represent a possible method for the measurement of regional (NUTS-2) level social innovation potential on the example of the Visegrad countries, and they also analyse the causes and consequences of disparities. The applied complex social innovation index can be calculated as a result of three pillars (economic, social, culture and attitude), and several components. As a result of the created patterns can be concluded that compared to the economic indicators, the disadvantage of the peripheries is not so significant in the case of the social innovation index, because of the complex character of the index. In the second part of the research, the authors analyse and evaluate also the methods, which can be adequate for increasing the social innovation potential.

Potencjał kooperacji turystycznej i piłkarskiej w państwach Grupy Wyszehradzkiej

2019 ◽  
Vol 17 (1) ◽  
pp. 351-375
Author(s):  
Mateusz Rafał ◽  
Dominik Borek
Keyword(s):  
Subject Matter ◽  
Social Initiative ◽  
Cultural Proximity ◽  
Tourism Sector ◽  
The Social ◽  
Social Potential ◽  
The Subject ◽  
Migration Crisis ◽  
Visegrad Group ◽  
Visegrád Countries

This article takes up the innovatory subject of cooperation in the field of football and the tourism sector by the Visegrad Group states. The subject matter of this study has not been widely discussed in the literature, hence most of de lege ferenda postulates are open to further discussion. The current Visegrad Group was created as a political project, not an evolutionary social initiative. This does not mean, however, that the societies of its member states are significantly different from each other, and the structure itself is exotic. The benefits of an extended cooperation, which seems not to have an alternative, for all the participants are fully understood. Therefore, the direction of common thinking about maximizing profits in the developing sector of tourism, and making the most of the social potential of football, can be an attractive platform for international dialogue and extended cooperation among the V4 countries. The baggage of history, geographic and cultural proximity, the migration crisis, as well as the imperialist policy of the neighbouring Russia effectively motivate to strengthen cooperation and create stronger mechanisms with each other. It is indisputable that the tendencies for cooperation in the Visegrad countries are not a novelty.

Contribution a la rationalisation du reseau qualite de l’eau de la Baie James

1977 ◽  
Vol 12 (1) ◽  
pp. 51-76
Author(s):  
B. Bobée ◽  
D. Cluis ◽  
A. Tessier
Keyword(s):  
Correspondence Analysis ◽  
Major Ions ◽  
Base Station ◽  
Base Stations ◽  
James Bay ◽  
Mean Values ◽  
Multivariate Technique ◽  
Qualité De L’Eau ◽  
Concentration Changes ◽  
The Relationship

Abstract A water quality sampling programme for James Bay territory established in a previous study has been carried out for the Department of Natural Resources of the Province of Quebec. The network is composed of 5 base-stations, sampled every fortnight to determine the variability with time of the parameters and 16 satellite-stations, sampled five times yearly with a view to determine the spatial variability. The data (major ions and certain nutrients) gathered during the 1974–1975 field survey are subjected to an analysis by a multivariate technique (correspondence analysis) in addition to certain classical statistical methods. The latter have shown that the mean values obtained at satellite stations were representative of the annual mean. In addition, the results permit the determination for a given parameter, of the relationship between stations and, for a given station, the relationship between parameters. In both cases, the formulation of predictive equations was attempted. An overall evaluation of the data by correspondence analysis has permitted: - a more precise definition of the qualitative behaviour of the different sub-basins of the James Bay territory and characterization of their waters;- a proof of the existence of gradual concentration changes in both East-West and North-South directions. Within the original objectives of the network, the results of the study have led to the following recommendations: - to continue synchronised samplings;- to transform a base station with a low information content into a satellite station;- to create a new base station in the eastern part of the territory.

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